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All the sources are required to supply the scheduled power to the system as directed by the system operator, within a time frame of operation. The fluctuating nature of wind makes supplying the scheduled power a challenging task. To address this, gas turbines are proposed to augment the wind generator to work as buffer owing to their high ramping capability. However, the cost of gas turbine increases with increased ramp rates, whereas, operating efficiency and the life time decreases. Hence, to relieve the buffering gas turbines from higher ramp rate requirements, emulation of inertia of the wind generator is proposed in this paper. The controller is designed to operate in inertia emulation mode whenever there is a retardation of rotor of the wind turbine and the proposed ramp controller will be in action only for first few seconds after the fall in wind speed. While emulating the inertia, the performance of the proposed control philosophy with different ramp rates is investigated in this paper. Guide lines for the selection of the ramp duration and ramp rate for seamless transition from inertia emulation mode to maximum power extraction mode are also suggested in this paper.
References
-
-
1)
-
1. Gautam, D., Goel, L., Ayyanar, R., et al: ‘Control strategy to mitigate the impact of reduced inertia due to doubly fed induction generators on large power systems’, IEEE Trans. Power Syst., 2011, 26, (1), pp. 214–224 (doi: 10.1109/TPWRS.2010.2051690).
-
2)
-
5. Hansang, L., Byoung, Y.S., Sangchul, H., et al: ‘Compensation for the power fluctuation of the large scale wind farm using hybrid energy storage applications’, IEEE Trans. Appl. Supercond., 2012, 22, (3), pp. 570194–570198, .
-
3)
-
1. Saurabh, T., Ned, M.: ‘Value of NAS energy storage toward integrating wind: results from the wind to battery project’, IEEE Trans. Power Syst., 2013, 28, (1), pp. 532–541 (doi: 10.1109/TPWRS.2012.2205278).
-
4)
-
6. Eleanor, D., Mark, O.M.: ‘Quantifying the total net benefits of grid integrated wind’, IEEE Trans. Power Syst., 2007, 22, (2), pp. 605–615 (doi: 10.1109/TPWRS.2007.894864).
-
5)
-
18. Xu, L., Ruan, X., Mao, C., et al: ‘An improved optimal sizing method for Wind-Solar-Battery hybrid power system’, IEEE Trans. Sustain. Energy, 2013, 4, (3), pp. 774–785 (doi: 10.1109/TSTE.2012.2228509).
-
6)
-
7)
-
8)
-
22. Zhu, J., Booth, C.D., Adam, G.P., et al: ‘Inertia emulation control strategy for VSC-HVDC transmission system’, IEEE Trans. Power Syst., 2013, 28, (2), pp. 1277–1287 (doi: 10.1109/TPWRS.2012.2213101).
-
9)
-
5. Zhang, Z.S., Sun, Y.Z., Lin, J., et al: ‘Coordinated frequency regulation by doubly fed induction generator-based wind power plants’, IET Renew. Power Gener., 2012, 6, (1), pp. 38–47 (doi: 10.1049/iet-rpg.2010.0208).
-
10)
-
2. Vijay, C.G., Bhim, S., Aggarwal, S.K., et al: ‘DFIG-based wind power conversion with grid power leveling for reduced gusts’, IEEE Trans. Sustain. Energy, 2012, 3, (1), pp. 12–20 (doi: 10.1109/TSTE.2011.2170862).
-
11)
-
12)
-
13)
-
7. Morren, J., De Haan, S.W.H., Kling, W.L., et al: ‘Wind turbines emulating inertia and supporting primary frequency control’, IEEE Trans. Power Syst., 2006, 21, (1), pp. 433–434, (doi: 10.1109/TPWRS.2005.861956).
-
14)
-
15)
-
15. Wan, Y.H.: ‘Analysis of wind power ramping behavior in ERCOT[R]. Colorado’: , 2011.
-
16)
-
26. Arani, M.F.M., El-Saadany, E.F.: ‘Implementing virtual inertia in DFIG-Based wind power generation’, IEEE Trans. Power Syst., 2013, 28, (2), pp. 1373–1384 (doi: 10.1109/TPWRS.2012.2207972).
-
17)
-
18)
-
7. Nicholas, W.M., Kara, C.: ‘Hybrid wind and advanced gas turbine farms: firm dispatchable power for weak grids’. IEEE General Power Meeting Towards Dispatchable Wind Panel Session, 2005.
-
19)
-
4. Goya, T., Omine, E., Kinjyo, Y., et al: ‘Frequency control in isolated island by using parallel operated battery systems applying H∞ control theory based on droop characteristics’, IET Renew. Power Gener., 2011, 5, (2), pp. 160–166 (doi: 10.1049/iet-rpg.2010.0083).
-
20)
-
14. Uriarte, F.M., Smith, C., VanBroekhoven, S., et al: ‘Microgrid ramp rates and the inertial stability margin’, IEEE Trans. Power Syst., 2015, 30, (6), pp. 3209–3321 (doi: 10.1109/TPWRS.2014.2387700).
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